#shipdetection resultados de búsqueda

#HighlyCitedPaper 📝 CM-YOLO: Typical Object Detection Method in Remote Sensing Cloud and Mist Scene Images ✍️ by Jianmimg Hu et al. 👉 Read the full paper: mdpi.com/2072-4292/17/1… #opticalimage #shipdetection #YOLO #remotesensing

From Drones to Docks: Precision Annotations for Smarter Seas We translate drone vision into structured intelligence. Wisepl specialize in meticulously crafted data annotation that powers AI to detect. #ShipDetection #DroneData #DataAnnotation #ImageAnnotation #Wisepl

#YOLO #ShipDetection #Transshipment #SanctionBusting AUTOMATIC DETECTION OF DARK SHIP-TO-SHIP TRANSFERS USING #DEEPLEARNING AND SATELLITE IMAGERY by Ollie Ballinger, @CASAUCL @ucl_discovery cc @YorukIsik @IanUrbina1 discovery.ucl.ac.uk/id/eprint/1020…

🚢 Introducing GLSD: A global, large-scale ship database with 212k+ annotated instances & 13 ship categories 🌍⚓️! It covers 3000+ ports & 33 routes, offering a refined resource for ship detection & multi-modal analysis🌐🔍#ShipDetection #MachineLearning doi.org/10.1080/100950…

🚢🛳️⛵ #YOLO-Lite: An Efficient Lightweight Network for #SAR #ShipDetection ✍️ Xiaozhen Ren et al. 🔗 mdpi.com/2072-4292/15/1…

Do you know that satellite data can be used to detect the speed of ships and airplanes? This and more applications of satellite remote sensing data that even you may not have heard of. eomasters.org/post/surprisin… #earthobservation #remotesensing #shipdetection #airplane

🚢⚓🛰️ A #ShipDetection Method via Redesigned #FCOS in Large-Scale #SAR Images ✍️ Mingming Zhu et al. 📎 brnw.ch/21wNFPQ

OptiShipNet: Efficient Ship Detection in Complex Marine Environments | Nominate Now #sciencefather Nominate Now! Nomination link : marinescientist.org/award-nominati… Website : marinescientist.org Contact : [email protected] #optishipnet #shipdetection #remotesensing

Arbitrary-Oriented #ShipDetection Method Based on Long-Edge Decomposition Rotated Bounding Box Encoding in #SAR Images ✍️by Xinqiao Jiang et al. 🔗Access the full paper: brnw.ch/21wN40n

Real-Time Ship Segmentation in Maritime Surveillance Videos Using Automatically Annotated Synthetic Datasets mdpi.com/1424-8220/22/2… #computervision #shipdetection #segmentation #realtimeprocessing #syntheticdatasets #maritimesurveillance

PPA-Net: Pyramid Pooling Attention Network for Multi-Scale #ShipDetection in #SAR Images by Gang Tang et al. #convolutional neural network Access the full paper: brnw.ch/21wLQt8

🔔 New article: Jia & Zhang propose ship #polarization information restoration - a method to improve #ShipDetection through the removal of sea #haze from optical imagery. 🔗 doi.org/10.1080/014311… #IJRS #RemoteSensing #AirlightEstimation #StokesParameters

🔔 New article: Li et al. propose MFFC-SDN: a multi-level, #FeatureFusion, codec-based 🚢 #ShipDetection network for 🛰️ #SyntheticApertureRadar (#SAR) imagery. 🔗 doi.org/10.1080/014311… #IJRS #RemoteSensing #DeepLearning #radar

#mostcited 🚢 YOLO-Lite: An Efficient Lightweight Network for #SAR Ship Detection by Xiaozhen Ren, Yanwen Bai, et al. ➡️ brnw.ch/21wL1lW #ShipDetection

#mostcited 🚢Ship Detection in #SAR Images Based on Multi-Scale Feature Extraction and Adaptive Feature Fusion by Kexue Zhou, Min Zhang, Hai Wang and Jinlin Tan mdpi.com/1486398 #ShipDetection

#mostcited 🚢CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for #SAR Ship Detection by Runfan Xia, Jie Chen, Zhixiang Huang, et al. t.ly/UO9wE #ShipDetection

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images by Xiaowo Xu, Xiaoling Zhang and Tianwen Zhang t.ly/QGqg6 #ShipDetection

🔔 New article: Tang et al. propose scene-aware #DataAugmentation to improve #SAR data-derived #ShipDetection - by addressing the scene imbalance problem, where many more offshore than inshore scenes are acquired. 🔗 doi.org/10.1080/014311… #IJRS #RemoteSensing #radar

⛴Unified Framework for #ShipDetection in Multi-Frequency #SAR Images: A Demonstration with COSMO-SkyMed, #Sentinel-1, and SAOCOM Data by Roberto Del Prete, Maria Daniela Graziano and Alfredo Renga brnw.ch/21wJLxO #syntheticapertureradar

#LatestPaper ⛴Scattering-Point-Guided Oriented RepPoints for #ShipDetection by Weishan Zhao, Lijia Huang, Haitian Liu and Chaobao Yan mdpi.com/2072-4292/16/6… #targetdetection

#RSHighlyCitedPaper High-Speed #ShipDetection in #SAR #Images Based on a Grid #ConvolutionalNeuralNetwork by Tianwen Zhang and Xiaoling Zhang. 👉mdpi.com/2072-4292/11/1… #remotesensing #SyntheticApertureRadar #CNN #MachineLearning #DeepLearning #GPU

#ShipDetection in #Multispectral #Satellite #Images Under Complex #Environment by Xiaoyang Xie, Bo Li and Xingxing Wei 👉mdpi.com/2072-4292/12/5… #convolutionalneuralnetworks #remotesensing

#RSHighlyCitedPaper #MultiScale Proposal Generation for #ShipDetection in #SAR #Images By Nengyuan Liu, Zongjie Cao, et al. 👉mdpi.com/2072-4292/11/5… #remotesensing #ObjectProposal #ObjectDetection #ProposalScoring #SyntheticApertureRadar #SAR

#RSinterestingpaper #RemoteSensing Image #ShipDetection under Complex Sea Conditions Based on Deep #SemanticSegmentation by Yantong Chen, Yuyang Li, et al. 👉mdpi.com/2072-4292/12/4… #convolutionneuralnetwork #CNN #DeepLearning #GoogleEarth #atrousconvolution

🚢🛳️⛵ #YOLO-Lite: An Efficient Lightweight Network for #SAR #ShipDetection ✍️ Xiaozhen Ren et al. 🔗 mdpi.com/2072-4292/15/1…

#RSHighlyCitedPaper #ShipDetection Based on YOLOv2 for #SAR Imagery By Yang-Lang Chang, Amare Anagaw, et al. 👉mdpi.com/2072-4292/11/7… #remotesensing #syntheticapertureradar #radarimage #DeepLearning #ConvolutionalNetwork

#HighlyCitedPaper 📝 CM-YOLO: Typical Object Detection Method in Remote Sensing Cloud and Mist Scene Images ✍️ by Jianmimg Hu et al. 👉 Read the full paper: mdpi.com/2072-4292/17/1… #opticalimage #shipdetection #YOLO #remotesensing

#RSHighlyCitedPaper R-#CNN-Based #ShipDetection from #HighResolution #RemoteSensing Imagery By Shaoming Zhang, Ruize Wu, et al. 👉mdpi.com/2072-4292/11/6… #SAR #deeplearning #SVM #convolutionalneuralnetwork #opticalimagery

#remotesensing 📢BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented #ShipDetection in High-Resolution #SAR Images by Zhongzhen Sun, Xiangguang Leng, Yu Lei, Boli Xiong, Kefeng Ji and Gangyao Kuang 👉Read the full article: mdpi.com/2072-4292/13/2…

#RSHighlyCitedPaper Automatic #ShipDetection Based on #RetinaNet Using Multi-Resolution Gaofen-3 #Imagery By Yuanyuan Wang, Chao Wang, et al. 👉mdpi.com/2072-4292/11/5… #remotesensing #SAR #radar #objectdetection #featurepyramidnetworks #FPN

#RemoteSensing #Image #ShipDetection under Complex #Sea Conditions Based on Deep Semantic Segmentation by Yantong Chen, Yuyang Li, et al. 👉mdpi.com/2072-4292/12/4… #convolutionneuralnetwork #remotesensing

#mostcited 🚢#ShipDetection and Feature Visualization Analysis Based on Lightweight #CNN in VH and VV Polarization Images by Xiaomeng Geng, Lei Shi, Jie Yang, Pingxiang Li, Lingli Zhao, Weidong Sun and Jinqi Zhao mdpi.com/2072-4292/13/6… #ocean

Automatic #ShipDetection in #RemoteSensing Images from #GoogleEarth of Complex Scenes Based on Multiscale Rotation Dense Feature #PyramidNetworks by Xue Yang, Hao Sun, Kun Fu, Jirui Yang, Xian Sun, Menglong Yan and Zhi Guo 👉mdpi.com/2072-4292/10/1… #DeepLearning

GEOSAT’s imagery is the perfect solution to feed integrated #Maritime services with fresh and reliable information and to support maritime control activities, including activity detection, identifying and classifying vessels. #MaritimeSurveillance #ShipDetection #Baoshan #China

Automated Procurement of Training Data for #MachineLearning Algorithm on #ShipDetection Using AIS Information by Juyoung Song, Duk-jin Kim and Ki-mook Kang 👉mdpi.com/2072-4292/12/9… #SAR #remotesensing

#mostcited 🚢 YOLO-Lite: An Efficient Lightweight Network for #SAR Ship Detection by Xiaozhen Ren, Yanwen Bai, et al. ➡️ brnw.ch/21wL1lW #ShipDetection

SPECIAL ISSUE article: Anil Raj J. et. al. propose a lightweight #SAR-based #ShipDetection and #Classification system which uses a novel #DeepLearning algorithm alongside a hybrid preprocessing technique. 🔗 doi.org/10.1080/014311… #IJRS #RemoteSensing #OjectDetection #radar

Intéressé par l'utilisation de données satellitaires @CopernicusEU ? N'oubliez pas de vous inscrire à la formation @RUS_Copernicus et Mer. 21/11/18. Brest #shipdetection #oceancolour #oilspillmonitoring #marinespatialplanning #Coastalmanagement bit.ly/2qxYM2T

PPA-Net: Pyramid Pooling Attention Network for Multi-Scale #ShipDetection in #SAR Images by Gang Tang et al. #convolutional neural network Access the full paper: brnw.ch/21wLQt8

🚢 Introducing GLSD: A global, large-scale ship database with 212k+ annotated instances & 13 ship categories 🌍⚓️! It covers 3000+ ports & 33 routes, offering a refined resource for ship detection & multi-modal analysis🌐🔍#ShipDetection #MachineLearning doi.org/10.1080/100950…